Natural Resource Conservation Scientist

Alignerr is seeking a Natural Resource Conservation Scientist for an AI training project. The role involves evaluating AI systems related to environmental science and providing feedback to improve accuracy. Candidates should have 3+ years of experience in conservation or environmental science. The position is fully remote, allowing flexible hours (10-40 per week), and offers the opportunity to influence AI understanding of natural resources.
Natural Resource Conservation Scientist (AI Training)

About The Role

What if your expertise in ecosystems, land management, and conservation could help shape how AI understands the natural world? We're looking for experienced natural resource conservation scientists to join a cutting-edge AI training project — evaluating and improving how AI systems reason about environmental science, conservation policy, and land stewardship.

Your real-world knowledge will directly influence the quality and accuracy of AI used by researchers, policymakers, and practitioners around the globe.

Organization: Alignerr (Powered by Labelbox)Type: Hourly / Task-based ContractLocation: Fully RemoteCommitment: 10–40 hours/week

What You'll Do

Review conservation science questions, case studies, and scenarios used in AI training datasetsEvaluate the scientific accuracy of AI-generated content covering land use, ecosystems, soil health, water systems, and biodiversityAssess whether AI recommendations reflect real-world conservation practices and current scientific understandingProvide clear, structured feedback to improve AI reasoning, depth, and reliabilityWork independently and asynchronously — on your own schedule, at your own pace

Who You Are

3+ years of professional experience in natural resource conservation, environmental science, or a closely related fieldStrong working knowledge of ecosystems, land management principles, and conservation decision-makingAble to critically evaluate scientific reasoning and applied recommendations with confidenceComfortable reviewing structured written content and providing detailed, actionable feedbackSelf-motivated and reliable when working independently on remote, asynchronous tasks

Nice to Have

Master's degree or PhD in Natural Resources, Environmental Science, Ecology, or a related disciplineHands-on fieldwork or applied conservation project experienceFamiliarity with AI systems, content evaluation workflows, or data annotation platforms

Why Join Us

Work on the frontier of AI — contribute to projects with real impact on how AI understands our natural worldFully remote and flexible — work from anywhere, on your own scheduleAutonomy and variety — no two projects are exactly alike; your expertise guides the workGlobal collaboration — connect with a diverse network of subject matter experts worldwidePotential for ongoing work — strong contributors are considered for contract extensions and future projectsMeaningful contribution — help ensure AI gets environmental science right, at a time when it matters most